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| Srl | Item |
| 1 |
ID:
121338
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| Publication |
2013.
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| Summary/Abstract |
Using provincial panel data from the period 1995-2009 to analyze the relationship between the industrial structural transformation and carbon dioxide emissions in China, we find that the first-order lag of industrial structural adjustment effectively reduced the emissions; technical progress itself did not reduce the emissions, but indirectly led to decreasing emissions through the upgrading and optimization of industrial structure. Foreign direct investment and intervention by local governments reduced carbon dioxide emissions, but urbanization significantly increased the emissions. Thus, industrial structural adjustment is an important component of the development of a low-carbon economy. In the context of industrial structural transformation, an effective way to reduce a region's carbon dioxide emissions is to promote the upgrading and optimization of industrial structure through technical progress. Tighter environmental access policies, selective utilization of foreign direct investment, and improvements in energy efficiency can help to reduce carbon dioxide emissions.
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| 2 |
ID:
111446
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2012.
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| Summary/Abstract |
A Response Surface-Based Wind Farm Cost (RS-WFC) model is developed for the engineering planning of wind farms. The RS-WFC model is developed using Extended Radial Basis Functions (E-RBF) for onshore wind farms in the U.S. This model is then used to explore the influences of different design and economic parameters, including number of turbines, rotor diameter and labor cost, on the cost of a wind farm. The RS-WFC model is composed of three components that estimate the effects of engineering and economic factors on (i) the installation cost, (ii) the annual Operation and Maintenance (O&M) cost, and (iii) the total annual cost of a wind farm. The accuracy of the cost model is favorably established through comparison with pertinent commercial data. The final RS-WFC model provided interesting insights into cost variation with respect to critical engineering and economic parameters. In addition, a newly developed analytical wind farm engineering model is used to determine the power generated by the farm, and the subsequent Cost of Energy (COE). This COE is optimized for a unidirectional uniform "incoming wind speed" scenario using Particle Swarm Optimization (PSO). We found that the COE could be appreciably minimized through layout optimization, thereby yielding significant cost savings.
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| 3 |
ID:
151416
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| Summary/Abstract |
This article examines Chinese perspectives of, and support for propaganda, relying on television public service advertisements as a means of tapping into citizens’ beliefs. Through the analysis of data from focus groups conducted in Beijing and public opinion survey data from 30 cities, this study argues that Chinese people are generally supportive of state efforts to guide public attitudes through television advertisements, although levels of support vary by age, education and gender. The study suggests that considerable popular support for state propaganda contributes to the regime’s capacity to guide public opinion and helps to explain the persistence of popular support for authoritarian rule.
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